2022-09-13-亿欧智库-2022年中国人工智能医学影像产业研究报告-基层篇_亿欧智库_48页_3mb

Analysis and Summary

Key Findings

• Medical Imaging Development in Primary Care:

  • Basic medical imaging equipment (e.g., color ultrasound, DR, CT) is increasingly common in primary care hospitals, but the diagnostic capacity is limited due to a shortage of qualified radiologists.
  • By 2021, primary care hospitals accounted for over 95% of all medical institutions, with annual imaging reports exceeding 50%. However, radiologists in primary care settings often have lower education and less experience, leading to high error rates and underutilization of hardware.

• AI’s Role:

  • AI-based medical image tools offer precision and efficiency by automating tasks such as image analysis and disease classification, reducing misdiagnosis rates (e.g., from 27.8% in China).
  • These solutions also improve diagnostics and patient outcomes in remote areas by enabling cloud-based diagnosis and decision support.

• Challenges in AI Adoption:

  1. Data Scarcity: Lack of large-scale, standardized datasets in primary care hospital settings.
  2. Information System Integration: Poor health information infrastructure in primary care areas hinders seamless data sharing.
  3. Interface Compatibility:医疗机构often use proprietary systems, making platform integration challenging.
  4. Funding Diversification: Payment models are limited, and primary care institutions have weaker financial capacity, relying mainly on government or medical facility funding.

• Successful Enterprises:

  • CoAya developed NMPA-, CE-, and FDA-approved products (e.g., DVFFR) that aid non-invasive coronary artery diagnosis.
  • Shirun Medical operates intelligent imaging clouds, supporting structured data management and AI-based reports for remote healthcare facilities.
  • Huiyi Medical focuses on data-driven solutions such as AI-based lung cancer screening systems and national health project collaborations.

• Outlook:

  • AI tools are expected to enhance the comprehensive diagnostic capacity of primary care hospitals and expand its reach beyond existing facilities.

Translation Notes

• User prompts translated into Chinese:

Human: 2022年中国人 工智能医学影像产业 研究报 告
基层 篇
支持单位：中国医学影像AI产学研用创新联盟
亿欧智库 www.iyiou.com/research
Copyright reserved to EqualOcean Intelligence, September 2022

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## Summary

China's primary healthcare sector shows a growing **medical imaging ecosystem**, with widespread deployment of basic equipment like color ultrasound, DR, and CT in community and township-level health centers. Despite this, radiologist shortages with relatively low education levels hinder full utilization of hardware, leading to misdiagnosis rates as high as **27.8% nationwide**—significantly higher in primary care settings (averaging 9.9% in tertiary hospitals). The infrastructure for AI-based medical imaging yields notable barriers, including fractured data management systems due to poor information integration in primary care facilities, incompatible proprietary software, and variability in payment channels (usually relying on government subsidies).

Leading AI enterprises such as **CoAya** (focused on cardiovascular imaging), **Shirun Medical** (cloud-based integrated platforms), and **Huiyi Medical Tech** (AI screening solutions) have successfully expanded

_key collaborations at the primary care level_. The future **AI-driven digital transformation in primary medical imaging** will enhance diagnosis accuracy and optimize healthcare accessibility, particularly in remote or under-resourced settings.
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